rutbee10/qwen2_5Coder1_5B-java-junit

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qwen25Coder15B-java-junit

This model is a fine-tuned version of unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0002
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 200
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.19.1
• —Transformers 5.5.0
• —Pytorch 2.10.0+rocm7.2.4.git3d3aa833
• —Datasets 4.3.0
• —Tokenizers 0.22.2